| autotuning::allow_lower_precision_training |
bool/false |
Enables to use FP16 in FP32 convolutions. |
| autotuning::maxruns |
int/100 |
Max number of runs per library and layer. |
| autotuning::notimproved |
int/5 |
Number of runs without improvement when autotuning will be stopped. |
| cat::fusion |
bool/true |
|
| cat::serialization |
bool/true |
|
| compiler::debug |
bool/false |
Generates SVGs in .sol/debug with the network structure. |
| compiler::debug_memory_consumption |
bool/false |
Generates memory consumption estimations in .sol/debug. |
| compiler::name |
string/Unknown |
Name used for the debug files. |
| compiler::no_random |
bool/false |
Disables randomness in the code and replaces them with a fixed number. |
| compiler::performance_warning |
bool/false |
Shows warning, if chose hyperparameters have negative impact on performance. |
| compiler::profile |
bool/false |
Shows performance of fused layers. |
| conv::sampling |
bool/true |
|
| dfp::batching |
bool/false |
|
| dfp::batchnorm |
int/0 |
|
| dfp::debug |
bool/false |
Generates SVGs for the DFP computation graph. |
| dfp::debug::details |
bool/false |
Shows more detailed information in the DFP computation graphs. |
| dfp::inference_scratchpad |
bool/true |
|
| dfp::input_kernel_merge |
bool/true |
|
| heuristic::[backend]::[layer]::[inf, fwd, bwd, fil] |
integer |
Defines the heuristic value used by [backend] for [layer] |
| jit::debug |
bool/false |
Enables debugging in the generated code. |
| log::level |
int |
Can be used to show more debug messages. [0 = error, 1 = info, 2 = warn, 4 = debug, 5 = trace]. Trace messages are only available in debug builds! Can also be set via the ENV var SOL_LOG=[ERROR, INFO, WARN, DEBUG, TRACE]. |
| maxpooling::clipmerge |
bool/true |
|
| maxpooling::relumerge |
bool/true |
|
| ve::reporting |
bool/false |
Enables NCC/NC++ reporting on the generated code. |